Agent Conversion — AI Website Conversion Testing

io.github.Ivanpq98/agent-conversionVersion 0.1.1

Test whether AI agents complete SaaS pricing, signup or sales journeys; get evidence-backed reports.

Status

Responds205 msNov 14, 2026, 14:38 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:38 UTC
Latency: 205 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

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Connect

Streamable HTTP

https://agent-conversion-coral.vercel.app/api/mcpResponds205 msNov 14, 2026, 14:38 UTC

No sign-in

Claude Code

claude mcp add --transport http agent-conversion https://agent-conversion-coral.vercel.app/api/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: agent-conversion
Remote MCP server URL: https://agent-conversion-coral.vercel.app/api/mcp

Cursor

{
  "mcpServers": {
    "agent-conversion": {
      "url": "https://agent-conversion-coral.vercel.app/api/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"agent-conversion","type":"http","url":"https://agent-conversion-coral.vercel.app/api/mcp"}'

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Tools

2 tools

Tools of Agent Conversion — AI Website Conversion Testing
	Description		Read-only	Idempotent	Open world
`get_conversion_report`Get the status and, once finished, the result of an audit started with test_conversion. Pass the audit_id returned by test_conversion (a report URL also works). status is "pending" while the agent is still running: wait retry_after_seconds and call again. If stale is true, the audit will never finish; start a new one. When status is "completed", result contains: task_completed (did the agent reach the goal), score (0-100 Agent Conversion Score, or null when score_withheld because the run did not finish measuring), summary, successes, frictions and recommendations; evidence.steps lists what the agent did. failure_classification explains a non-clean run: "blocked" (safety boundary or site-side access refusal such as a bot challenge — a real finding about the site), "run_did_not_finish", "infrastructure_failure" or "pipeline_error" (Agent Conversion's own problem, not the site's). report_url is a human-readable report to share. status "failed" means no report will be produced. Calling this tool is free and safe to repeat.	Get the status and, once finished, the result of an audit started with test_conversion. Pass the audit_id returned by test_conversion (a report URL also works). status is "pending" while the agent is still running: wait retry_after_seconds and call again. If stale is true, the audit will never finish; start a new one. When status is "completed", result contains: task_completed (did the agent reach the goal), score (0-100 Agent Conversion Score, or null when score_withheld because the run did not finish measuring), summary, successes, frictions and recommendations; evidence.steps lists what the agent did. failure_classification explains a non-clean run: "blocked" (safety boundary or site-side access refusal such as a bot challenge — a real finding about the site), "run_did_not_finish", "infrastructure_failure" or "pipeline_error" (Agent Conversion's own problem, not the site's). report_url is a human-readable report to share. status "failed" means no report will be produced. Calling this tool is free and safe to repeat.	No	Yes	Yes	No
`test_conversion`Start a real Agent Conversion audit: an autonomous browsing agent opens the given website and tries to complete the task, then the run is scored 0-100 with problems and recommendations. Use this when someone wants to know whether an AI agent can find something or complete a commercial step on a specific website, e.g. "Can an agent find the Pro plan's monthly price on example.com?" or "Can an agent start the self-service signup on example.com?". Returns immediately with an audit_id and status "pending" — it does NOT wait for the result. Call get_conversion_report with the audit_id to get the result. Rules: url must be a public http(s) URL (no localhost, private IPs, credentials or custom ports). task must be 10-1000 characters and describe the goal in plain language; phrase purchase-like goals as "reach checkout without buying". Each call costs a real browser run and is rate limited: do not call it repeatedly for the same url+task — poll get_conversion_report instead. Error codes rate_limited, daily_limit and at_capacity mean try again later.	Start a real Agent Conversion audit: an autonomous browsing agent opens the given website and tries to complete the task, then the run is scored 0-100 with problems and recommendations. Use this when someone wants to know whether an AI agent can find something or complete a commercial step on a specific website, e.g. "Can an agent find the Pro plan's monthly price on example.com?" or "Can an agent start the self-service signup on example.com?". Returns immediately with an audit_id and status "pending" — it does NOT wait for the result. Call get_conversion_report with the audit_id to get the result. Rules: url must be a public http(s) URL (no localhost, private IPs, credentials or custom ports). task must be 10-1000 characters and describe the goal in plain language; phrase purchase-like goals as "reach checkout without buying". Each call costs a real browser run and is rate limited: do not call it repeatedly for the same url+task — poll get_conversion_report instead. Error codes rate_limited, daily_limit and at_capacity mean try again later.	No	No	No	Yes

Details

Registry status: Active
Published: Oct 22, 2026
Updated: Oct 22, 2026
Website: https://agent-conversion-coral.vercel.app/en/mcp⁠ (opens in a new tab)
Repository: https://github.com/Ivanpq98/agent-conversion⁠ (opens in a new tab)
Categories (suggested): CRMSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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